5 results about "Grid clustering" patented technology

The application discloses a weak coverage area grid clustering method and device, and the method comprises the following steps: performing slicing processing on a raster map to obtain a plurality of map slices; calculating the weak coverage probability of each map slice; screening the map slices to be clustered from the plurality of map slices according to the weak coverage probabilities of the plurality of map slices, performing clustering processing on the grids in the map slices to be clustered to obtain a weak coverage clustering cluster; collecting the update coverage data corresponding to the plurality of map slices, and updating the raster map according to the update coverage data and the weak coverage clustering cluster. The application realizes the management and processing of different slices by screening the map slices to be clustered, and does not need to perform complete traversal clustering and updating on the entire raster map, thereby saving the computing resource, effectively improving the update speed of the raster map, and solving the problems that the current clustering operation requires a large computing power and the real-time update map operation consumes a large amount of resources.

The application discloses a regional carbon emission data monitoring and analyzing system and method, and belongs to the technical field of big data analysis and traffic carbon emission monitoring. The method comprises the following steps: acquiring multi-source data of a city road network, wherein the multi-source data at least comprises traffic gate flow data, vehicle GPS track data, weather data and signal lamp timing data; dividing a city area into a plurality of spatial grid units; based on historical vehicle flow form indexes of each grid unit, combining preset business rules reflecting city functional area characteristics, performing dynamic clustering processing on the plurality of grid units to obtain a plurality of carbon emission characteristic grid clusters; wherein the judgment basis of the business rules at least partially originates from land use property data around the grid units; for each carbon emission characteristic grid cluster, according to the correlation characteristics of its vehicle flow form characteristics and event data, selecting a corresponding prediction algorithm to establish a traffic carbon emission prediction sub-model; based on the output of each sub-model, generating a carbon emission hotspot distribution map of the city road network in a future preset time period, and associating and outputting carbon emission contribution degrees and emission attribution analysis results of each characteristic grid cluster. Through the dynamic grid clustering mechanism of "vehicle flow form clustering + city functional area rule verification", the application realizes fine monitoring and accurate tracing of city traffic mobile source emissions, and effectively improves the spatio-temporal resolution and management operability of traffic carbon emission prediction.

This disclosure presents a method and apparatus for processing non-uniform image data based on a visual language model. One specific implementation of the method includes: performing text box localization processing on the image to be processed to obtain a set of text box coordinate information; obtaining a density matrix; performing grid clustering processing on the density matrix to obtain an initial set of region bounding boxes; performing density adaptive expansion processing on the initial set of region bounding boxes to obtain a set of target region bounding boxes; performing multi-scale regional extraction processing on the image to be processed to obtain a global thumbnail and a set of local sub-images; performing fusion inference processing on the global thumbnail and the set of local sub-images to obtain a target content information set; performing differential compression processing on the image to be processed to obtain archived image data; and saving the archived image data to a storage medium. This implementation can reduce the lexical consumption of visual language model inference, reduce computational resource consumption, and reduce the storage space occupied by images.

The present application relates to the technical field of cultural landscape division and management, and discloses a kind of country area cultural landscape unit division and management method, the method comprises: standardization country data set is extracted to country culture landscape element;Identify and demarcate cultural landscape gene patch, and the initial object patch layer is generated by carrying out segmentation processing to cultural landscape gene patch, the initial object patch layer is carried out weighted clustering analysis, and the cultural landscape unit partition sketch layer is obtained;The patch merging determination, partition optimization and boundary correction are carried out to the cultural landscape unit partition sketch layer, and the cultural landscape unit division result layer is obtained;Based on cultural landscape unit division result layer and comprehensive management and control level, matching control strategy realizes different management and control.The present application can effectively adapt to the characteristics of complex landscape in country area, compared with traditional grid clustering method, can better maintain the continuity of landscape pattern and cultural context, so that the scientificity and rationality of division result are more optimal.

The application discloses a map division method and device, a computer readable storage medium and a processor. The method comprises: obtaining a predetermined map of a predetermined area, wherein the predetermined map is used to show the building contour of the predetermined area, and the predetermined map comprises a plurality of preset grids, and the grid area of each preset grid is the same; determining the building density in each preset grid according to the building contour in each preset grid, wherein the building density is the ratio of the building area in the preset grid to the grid area, and the building area is determined according to the building contour; clustering the plurality of preset grids according to the building density to obtain a grid clustering result, wherein the grid clustering result comprises a plurality of density levels, and each density level comprises at least one preset grid; and dividing the predetermined map according to the grid clustering result. The application solves the technical problem of low planning efficiency caused by manual planning of the map.